hardMultiple SelectObjective-mapped
PMLE Practice Question: A machine learning team is deploying a model for…
A machine learning team is deploying a model for real-time predictions using Vertex AI. They need to ensure that the deployment follows best practices for collaboration and governance. Which TWO actions should they take?
⚠ Common exam trap
Google Cloud often tests the misconception that local storage or manual configuration is acceptable for governance, when in fact centralized artifact storage and automated scaling are required for collaboration and reliability.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use a continuous integration/continuous deployment (CI/CD) pipeline to deploy model versions.
Using a CI/CD pipeline for deploying model versions ensures automated, repeatable, and auditable deployments, which is a best practice for collaboration and governance. This approach enforces version control, testing, and approval gates, reducing the risk of errors and enabling rollback if needed.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Use a continuous integration/continuous deployment (CI/CD) pipeline to deploy model versions.
Why this is correct
CI/CD ensures consistent, repeatable deployments.
- ✗
Store all model artifacts in a local file system to reduce latency.
Why it's wrong here
Local storage is not scalable or collaborative.
- ✓
Enable model monitoring to detect data drift and performance degradation.
Why this is correct
Monitoring is essential for ongoing model quality.
- ✗
Manually configure autoscaling parameters for the endpoint.
Why it's wrong here
Vertex AI can auto-scale; manual tuning not required.
- ✗
Allow any team member to deploy directly to production without review.
Why it's wrong here
Missing governance and testing.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This PMLE practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PMLE exam.